Crop anomaly identification with color filters and convolutional neural networks (2018)
Nardari, Guilherme Vicentim 
; Romero, Roseli Aparecida Francelin ; Guizilini, Vitor C; Mareco, Willy E. C; Milori, Debora Marcondes Bastos Pereira ; Villas Boas, Paulino Ribeiro ; Santos, Igor Araujo Dias
Source: Proceedings. Conference titles: Latin American Robotics Symposium - LARS. Unidade: ICMC
Subjects: REDES NEURAIS, PROCESSAMENTO DE IMAGENS, AGRICULTURA DE PRECISÃO
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NARDARI, Guilherme Vicentim et al. Crop anomaly identification with color filters and convolutional neural networks. 2018, Anais.. Los Alamitos: IEEE, 2018. Disponível em: https://doi.org/10.1109/LARS/SBR/WRE.2018.00072. Acesso em: 15 nov. 2024.APA
Nardari, G. V., Romero, R. A. F., Guizilini, V. C., Mareco, W. E. C., Milori, D. M. B. P., Villas Boas, P. R., & Santos, I. A. D. (2018). Crop anomaly identification with color filters and convolutional neural networks. In Proceedings. Los Alamitos: IEEE. doi:10.1109/LARS/SBR/WRE.2018.00072NLM
Nardari GV, Romero RAF, Guizilini VC, Mareco WEC, Milori DMBP, Villas Boas PR, Santos IAD. Crop anomaly identification with color filters and convolutional neural networks [Internet]. Proceedings. 2018 ;[citado 2024 nov. 15 ] Available from: https://doi.org/10.1109/LARS/SBR/WRE.2018.00072Vancouver
Nardari GV, Romero RAF, Guizilini VC, Mareco WEC, Milori DMBP, Villas Boas PR, Santos IAD. Crop anomaly identification with color filters and convolutional neural networks [Internet]. Proceedings. 2018 ;[citado 2024 nov. 15 ] Available from: https://doi.org/10.1109/LARS/SBR/WRE.2018.00072
